Tham khảo tài liệu 'food production approaches, challenges and tasks part 12', khoa học tự nhiên, công nghệ sinh học phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 198 Food Production - Approaches Challenges and Tasks Total true samples Misclassification matrix Samples fitted assignment Validated misclassification matrix Samples predicted assignment Assigned class Assigned class a b c a b c Class a 113 rate 112 0 1 111 1 1 Class b 6 rate 0 6 0 0 5 1 Class c 3 rate 0 0 3 0 1 2 Table 3. EN use for DON analysis in wheat performances of classification for a 122-samples dataset. Class a samples non-contaminated Class b samples below the legal limit Class c samples above the legal limit modified from Campagnoli et al. 2011 . 5. Conclusion The plan of an effective sampling procedure for food and feed contaminants detection or quantification represents a complex challenge for operators. Special attention has to be paid when matrices are coarse and contaminants are characterized by a non uniform distribution as in the case of mycotoxins in cereal commodities that represent the most important worldwide human and animal food and feed resources. Under these conditions sampling uncertainty dominates in the final uncertainty result then the choice of expensive precise sensible specific analytical method could result an inefficient strategy. Instead the adoption of a rapid low cost but high sample throughput analytical approach able to test a high number of samples can represent a better option. This is one of the most important reason for which R D regarding these analytical approaches and statistical data analysis specifically dedicated merits further implementation. Fearn 2009 states that The safest policy is to use the simplest method you can and within that the simplest model you can avoiding the temptation to add a lot of extra complexity for a small gain in performance . Therefore some analytical methods reveal further useful characteristics for screening purposes. For example methods miming senses electronic nose that by .
